The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A set of metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page
Abstract
Purpose: – This study aims to propose a set of metrics in order to assess reactivity, dialogic communication and stakeholder engagement (popularity, commitment and virality): stakeholders' mood and social legitimacy on corporate Facebook pages. These metrics can offer a better understanding and measurability of this social media/social network/online communication management tool. Design/methodology/approach: – Three theories (dialogic, stakeholders and legitimacy) were considered in the development of these metrics. Empirical evidence was collected from a sample of 314 European companies. Then ten active companies were used to validate the proposed metrics on Facebook. Findings: – The constructed set of metrics was found to be valid and efficiently usable according to the principles of the applied theories. Moreover all the proposed metrics could be adapted for such sites as Google+. Research limitations/implications: – Limitations can only be identified within the validation process as the metrics were only applied to ten representative companies from the Eurozone. Practical implications: – The proposed metrics will help users, marketing/PR/communication professionals and company managers to measure their and their competitors' popularity, commitment, virality (metrics which reflect stakeholder engagement), and the mood of stakeholders, and use content analysis in order to measure social legitimacy via CSR information disclosure on Facebook. Thus the online reputation of a company can be practically measured. Originality/value: – This paper is the first proposing metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page that can be used in both academic and professional circles to a gain a better understanding of corporate online communication via Facebook.
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Cites
Managing Legitimacy: Strategic and Institutional Approaches
Suchman, M. C. (1995) · The Academy of Management Review · doi:10.2307/258788 · Cited by 19,903
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
Electronic word-of-mouth in hospitality and tourism management
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.011 · Cited by 3,267
Tastes, ties, and time: a new social network dataset using Facebook.com
Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008) · Social Networks · doi:10.1016/j.socnet.2008.07.002 · Cited by 1,024
A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage
Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.11.001 · Cited by 1,011
Challenges in measuring online advertising systems
Guha, S., Cheng, B., & Francis, P. (2010) · Proceedings of the 10th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1879141.1879152 · Cited by 169
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Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106380 · Cited by 652
Influence of Facebook brand-page posts on online engagement
Luarn, P., Lin, Y.-F., & Chiu, Y.-P. (2015) · Online Information Review · doi:10.1108/oir-01-2015-0029 · Cited by 370
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Social network services for academic libraries: A study based on social capital and social proof
Fong, K. C. H., Au, C. H., Lam, E. T. H., & Chiu, D. K. W. (2020) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2019.102091 · Cited by 83
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Metadata
- Authors
- Bonsón, E., & Ratkai, M.
- Venue
- Online Information Review
- Publisher
- Emerald
- Published
- 2013-09-23
- Volume
- 37
- Issue
- 5
- Pages
- 787-803
- ISSN
- 1468-4527 (ISSN-L)
- OpenAlex
- W1992871311
- Cited by
- 341
- References
- 8
- FWCI
- 42.25
- Type
- journal article
- Language
- en
- Open access
- closed
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